Mattias Ohlsson

54 papers B 5Journal 36Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CoxSE: Exploring the potential of self-explaining neural networks with Cox proportional hazards model for survival analysis. Knowl. Based Syst. Abdallah Alabdallah, Omar Hamed, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson, Sepideh Pashami
2025	J	`jnl`	A decoupled alignment kernel for peptide membrane permeability predictions. CoRR Ali Amirahmadi, Gökçe Geylan, Leonardo De Maria, Farzaneh Etminani, Mattias Ohlsson, Alessandro Tibo
2025	J	`jnl`	A new bandit setting balancing information from state evolution and corrupted context. Data Min. Knowl. Discov. Alexander Galozy, Slawomir Nowaczyk, Mattias Ohlsson
2025	J	`jnl`	Adaptive noise-augmented attention for enhancing Transformer fine-tuning on longitudinal medical data. Frontiers Artif. Intell. Ali Amirahmadi, Farzaneh Etminani, Mattias Ohlsson
2025	J	`jnl`	Cycle Conditioning for Robust Representation Learning from Categorical Data. Trans. Mach. Learn. Res. Mohsen Tabejamaat, Farzaneh Etminani, Mattias Ohlsson
2025	J	`jnl`	Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer. npj Digit. Medicine Daqu Zhang, Looket Dihge, Pär-Ola Bendahl, Ida Arvidsson, Magnus Dustler, Julia Ellbrant, Kim Gulis, Malin Hjärtström, Mattias Ohlsson, Cornelia Rejmer, David Schmidt, Sophia Zackrisson, Patrik Edén, Lisa Rydén
2025	J	`jnl`	Leveraging ChatGPT's Multimodal Vision Capabilities to Rank Satellite Images by Poverty Level: Advancing Tools for Social Science Research. CoRR Hamid Sarmadi, Ola Hall, Thorsteinn S. Rögnvaldsson, Mattias Ohlsson
2025	—	`conf`	Leveraging Temporal Aggregation and Graph Structures to Analyze EHR Trajectories. CAI Ghada M. Fathy, Amira Soliman, Farzaneh Etminani, Mattias Ohlsson
2025	J	`jnl`	Utilizing artificial intelligence and medical experts to identify predictors for common diagnoses in dyspneic adults: A cross-sectional study of consecutive emergency department patients from Southern Sweden. Int. J. Medical Informatics Ellen T. Heyman, Awais Ashfaq, Ulf Ekelund, Mattias Ohlsson, Jonas Björk, Alexander Marcel Schubert, Markus Lingman, Ardavan M. Khoshnood
2024	J	`jnl`	A Masked language model for multi-source EHR trajectories contextual representation learning. CoRR Ali Amirahmadi, Mattias Ohlsson, Kobra Etminani, Olle Melander, Jonas Björk
2024	J	`jnl`	CoxSE: Exploring the Potential of Self-Explaining Neural Networks with Cox Proportional Hazards Model for Survival Analysis. CoRR Abdallah Alabdallah, Omar Hamed, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson, Sepideh Pashami
2024	—	`conf`	Improving Concordance Index in Regression-based Survival Analysis: Evolutionary Discovery of Loss Function for Neural Networks. GECCO Companion Mohammed Ghaith Altarabichi, Abdallah Alabdallah, Sepideh Pashami, Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Mattias Ohlsson
2024	—	`conf`	Surveillance of Disease Outbreaks Using Unsupervised Uni-Multivariate Anomaly Detection of Time-Series Symptoms. MIE Atiye Sadat Hashemi, Mirfarid Musavian Ghazani, Mattias Ohlsson, Jonas Björk, Dominik Dietler
2024	J	`jnl`	The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models. Artif. Intell. Medicine Abdallah Alabdallah, Mattias Ohlsson, Sepideh Pashami, Thorsteinn S. Rögnvaldsson
2024	—	`conf`	Understanding Survival Models Through Counterfactual Explanations. ICCS (4) Abdallah Alabdallah, Jakub Jakubowski, Sepideh Pashami, Szymon Bobek, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson, Grzegorz J. Nalepa
2023	—	`conf`	A Masked Language Model for Multi-Source EHR Trajectories Contextual Representation Learning. MIE Ali Amirahmadi, Mattias Ohlsson, Kobra Etminani, Olle Melander, Jonas Björk
2023	J	`jnl`	Deep learning prediction models based on EHR trajectories: A systematic review. J. Biomed. Informatics Ali Amirahmadi, Mattias Ohlsson, Kobra Etminani
2023	J	`jnl`	Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation. BMC Medical Informatics Decis. Mak. Pontus Olsson de Capretz, Anders Björkelund, Jonas Björk, Mattias Ohlsson, Arash Mokhtari, Axel Nyström, Ulf Ekelund
2023	B	`conf`	Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks. DSAA Hamid Sarmadi, Thorsteinn S. Rögnvaldsson, Nils Roger Carlsson, Mattias Ohlsson, Ibrahim Wahab, Ola Hall
2023	J	`jnl`	Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks. CoRR Hamid Sarmadi, Thorsteinn S. Rögnvaldsson, Nils Roger Carlsson, Mattias Ohlsson, Ibrahim Wahab, Ola Hall
2022	J	`jnl`	A review of explainable AI in the satellite data, deep machine learning, and human poverty domain. Patterns Ola Hall, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson
2022	J	`jnl`	Deterministic annealing with Potts neurons for multi-robot routing. Intell. Serv. Robotics Jennifer David, Thorsteinn S. Rögnvaldsson, Bo Söderberg, Mattias Ohlsson
2022	J	`jnl`	Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain. CoRR Ola Hall, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson
2022	B	`conf`	SurvSHAP: A Proxy-Based Algorithm for Explaining Survival Models with SHAP. DSAA Abdallah Alabdallah, Sepideh Pashami, Thorsteinn S. Rögnvaldsson, Mattias Ohlsson
2022	J	`jnl`	The Concordance Index decomposition: a measure for a deeper understanding of survival prediction models. CoRR Abdallah Alabdallah, Mattias Ohlsson, Sepideh Pashami, Thorsteinn S. Rögnvaldsson
2020	J	`jnl`	Corrupted Contextual Bandits with Action Order Constraints. CoRR Alexander Galozy, Slawomir Nowaczyk, Mattias Ohlsson
2020	J	`jnl`	Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems. CoRR Najmeh Abiri, Björn Linse, Patrik Edén, Mattias Ohlsson
2020	J	`jnl`	Pitfalls of medication adherence approximation through EHR and pharmacy records: Definitions, data and computation. Int. J. Medical Informatics Alexander Galozy, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Mattias Ohlsson, Markus Lingman
2020	J	`jnl`	Variational auto-encoders with Student's t-prior. CoRR Najmeh Abiri, Mattias Ohlsson
2019	J	`jnl`	Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems. Neurocomputing Najmeh Abiri, Björn Linse, Patrik Edén, Mattias Ohlsson
2019	B	`conf`	Variational auto-encoders with Student's t-prior. ESANN Najmeh Abiri, Mattias Ohlsson
2017	—	`conf`	Automatic Gleason grading of H and E stained microscopic prostate images using deep convolutional neural networks. Digital Pathology Anna Gummeson, Ida Arvidsson, Mattias Ohlsson, Niels Christian Overgaard, Agnieszka Krzyzanowska, Anders Heyden, Anders Bjartell, Kalle Åström
2014	J	`jnl`	Analysis of regional bone scan index measurements for the survival of patients with prostate cancer. BMC Medical Imaging Jonas Kalderstam, May Sadik, Lars Edenbrandt, Mattias Ohlsson
2013	B	`conf`	Ensembles of genetically trained artificial neural networks for survival analysis. ESANN Jonas Kalderstam, Patrik Edén, Mattias Ohlsson
2013	J	`jnl`	Training artificial neural networks directly on the concordance index for censored data using genetic algorithms. Artif. Intell. Medicine Jonas Kalderstam, Patrik Edén, Pär-Ola Bendahl, Carina Strand, Mårten Fernö, Mattias Ohlsson
2013	J	`jnl`	Transcriptional Regulation of Lineage Commitment - A Stochastic Model of Cell Fate Decisions. PLoS Comput. Biol. Jose Teles, Cristina Pina, Patrik Edén, Mattias Ohlsson, Tariq Enver, Carsten Peterson
2011	—	`conf`	An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images. SCIA Matilda Landgren, Karl Sjöstrand, Mattias Ohlsson, Daniel Ståhl, Niels Chr. Overgaard, Kalle Åström, Rune Sixt, Lars Edenbrandt
2009	B	`conf`	Automated decision support for bone scintigraphy. CBMS Mattias Ohlsson, Reza Kaboteh, May Sadik, Madis Suurkula, Milan Lomsky, Peter Gjertsson, Karl Sjöstrand, Jens Richter, Lars Edenbrandt
2009	J	`jnl`	Exploring new possibilities for case-based explanation of artificial neural network ensembles. Neural Networks Michael Green, Ulf Ekelund, Lars Edenbrandt, Jonas Björk, Jakob Lundager Forberg, Mattias Ohlsson
2009	—	`conf`	Statistical Regularization of Deformation Fields for Atlas-Based Segmentation of Bone Scintigraphy Images. MICCAI (1) Karl Sjöstrand, Mattias Ohlsson, Lars Edenbrandt
2006	J	`jnl`	A simple statistical model for prediction of acute coronary syndrome in chest pain patients in the emergency department. BMC Medical Informatics Decis. Mak. Jonas Björk, Jakob Lundager Forberg, Mattias Ohlsson, Lars Edenbrandt, Hans Öhlin, Ulf Ekelund
2006	J	`jnl`	Comparison between neural networks and multiple logistic regression to predict acute coronary syndrome in the emergency room. Artif. Intell. Medicine Michael Green, Jonas Björk, Jakob Lundager Forberg, Ulf Ekelund, Lars Edenbrandt, Mattias Ohlsson
2004	J	`jnl`	Detecting acute myocardial infarction in the 12-lead ECG using Hermite expansions and neural networks. Artif. Intell. Medicine Henrik Haraldsson, Lars Edenbrandt, Mattias Ohlsson
2004	J	`jnl`	WeAidU - a decision support system for myocardial perfusion images using artificial neural networks. Artif. Intell. Medicine Mattias Ohlsson
2003	—	`conf`	Pervasive Self-Care Solutions in Telecardiology. Typical use cases from the EPI-MEDICS project. MIE Flore Gouaux, Lucas Simon Chautemps, Jocelyne Fayn, Stefano Adami, Mohammad Arzi, Deodato Assanelli, Marie-Claire Forlini, Cesare Malossi, Antonio Martinez, Mattias Ohlsson, Joël Placide, Gian-Luca Ziliani, Paul Rubel
2002	J	`jnl`	A novel approach to local reliability of sequence alignments. Bioinform. Maximilian Schlosshauer, Mattias Ohlsson
2001	J	`jnl`	An efficient mean field approach to the set covering problem. Eur. J. Oper. Res. Mattias Ohlsson, Carsten Peterson, Bo Söderberg
2000	—	`conf`	A New Artificial Neural Network Method for the Interpretation of ECGs. ANNIMAB Holger Holst, Lars Edenbrandt, Mattias Ohlsson, Hans Öhlin
2000	—	`conf`	Acute Myocardial Infarction: Analysis of the ECG Using Artificial Neural Networks. ANNIMAB Mattias Ohlsson, Holger Holst, Lars Edenbrandt
2000	—	`conf`	Internet Based Artificial Neural Networks for the Interpretation of Medical Images. ANNIMAB Andreas Järund, Lars Edenbrandt, Mattias Ohlsson, Erik Borälv
1999	J	`jnl`	An Efficient Mean Field Approach to the Set Covering Problem CoRR Mattias Ohlsson, Carsten Peterson, Bo Söderberg
1999	—	`conf`	WWW Based Service for Automated Interpretation of Diagnostic Imgages: The AIDI-Heart Project. HPCN Europe Mattias Ohlsson, Andreas Järund, Lars Edenbrandt
1997	J	`jnl`	A Study of the Mean Field Approach to Knapsack Problems. Neural Networks Mattias Ohlsson, Hong Pi
1993	J	`jnl`	Neural Networks for Optimization Problems with Inequality Constraints: The Knapsack Problem. Neural Comput. Mattias Ohlsson, Carsten Peterson, Bo Söderberg